VOY is a fast growing Healthtech scale-up, aiming to be the healthcare provider that millions of people trust as their partner to a long and healthy life. Our platform allows users to quickly and safely diagnose possible conditions, get treatment and support them afterwards to live a higher quality life. To do this we are building an all in one healthcare platform which brings together world leading medical expertise and technical excellence.
We are looking for a talented Data Analyst to join our growing Data team and help drive smarter, data-informed decisions across the organisation.
The OpportunityThis is a high-impact role where the insights you surface and the dashboards you build directly influence how our teams operate and how well we support our patients.
Who you areYou have strong SQL skills and can write queries confidently to extract, transform and analyse data
You're comfortable with data visualisation tools and understand how to design dashboards that are intuitive and actionable
You think carefully about data -what metrics mean, what the data is actually telling you, and how to communicate it clearly
You're curious and self-driven, comfortable exploring datasets to uncover insights and answer difficult questions
You're a natural communicator who can translate analytical findings into clear, actionable recommendations
You collaborate well with both technical and non-technical stakeholders and take ownership end-to-end
You're excited about working in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale
Translate data into insight
Conduct ad-hoc analyses to answer business questions from stakeholders across Operations, Finance, Clinical and Programme teams
Identify trends, patterns and anomalies in operational and clinical data that impact service delivery and patient outcomes
Present findings in clear, compelling ways that drive decision-making across the organisation
Build and maintain dashboards & reports
Design and build dashboards in Looker that track key metrics across the business - from programme delivery KPIs to financial performance
Develop automated reports that keep stakeholders informed without requiring manual updates
Ensure dashboards are accurate, performant and easy to navigate for end users
Contribute to data quality & modelling
Write clear, optimised SQL to query and manipulate data reliably
Collaborate with the Data Engineering team on data modelling, dbt transformations and data governance
Identify and escalate data quality issues and help ensure consistency across systems
Help define and track metrics that matter, ensuring every KPI is well understood and correctly calculated
Partner across teams
Work closely with stakeholders across Operations, Clinical, Finance and Programme Delivery to understand their data needs
Communicate complex data concepts in a way that's accessible to non-technical stakeholders
Help drive adoption of data-driven thinking and self-serve analytics across the organisation
2-4 years of experience in a data analyst, business analyst or similar analytics role
Proficiency in SQL - you can write queries to explore, filter, join and aggregate data reliably
Experience with at least one BI/visualisation tool (Looker, Tableau, Power BI, or similar)
Familiarity with modern data stacks and tools (BigQuery, Snowflake, PostgreSQL, dbt are all helpful)
Strong analytical and problem-solving skills with an eye for detail
Excellent communication skills - able to explain complex findings clearly to diverse audiences
This is a hybrid role requiring 3 days per week in the office
Experience you may have
A degree in a quantitative subject (Statistics, Mathematics, Computer Science, Economics, etc.)
Experience in healthcare, public health or regulated industries
Exposure to Python or R for data analysis and statistical work
Experience working in fast-growing, high-impact environments
Familiarity with dbt or other data transformation frameworks
Please note that this is a hybrid role with a requirement of in office presence, 3 days per week
